Machine learning with physicochemical relationships: solubility prediction in organic solvents and water

Abstract

Accurate prediction of solubility represents a challenge for traditional computational approaches due to the complex nature of phenomena involved. Here the authors report a successful approach to solubility prediction in organic solvents and water using combination of machine learning and computational chemistry.